• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

半球间 EEG:脑卒中后个体定量 EEG 评估的新视角。

Intrahemispheric EEG: A New Perspective for Quantitative EEG Assessment in Poststroke Individuals.

机构信息

Applied Neuroscience Laboratory, Department of Physical Therapy, Universidade Federal de Pernambuco, Recife, Pernambuco, Brazil.

NAPeN Network (Núcleo de Assistência e Pesquisa em Neuromodulação), Brazil.

出版信息

Neural Plast. 2021 Sep 21;2021:5664647. doi: 10.1155/2021/5664647. eCollection 2021.

DOI:10.1155/2021/5664647
PMID:34603441
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8481048/
Abstract

The ratio between slower and faster frequencies of brain activity may change after stroke. However, few studies have used quantitative electroencephalography (qEEG) index of ratios between slower and faster frequencies such as the delta/alpha ratio (DAR) and the power ratio index (PRI; delta + theta/alpha + beta) for investigating the difference between the affected and unaffected hemisphere poststroke. Here, we proposed a new perspective for analyzing DAR and PRI within each hemisphere and investigated the motor impairment-related interhemispheric frequency oscillations. Forty-seven poststroke subjects and twelve healthy controls were included in the study. Severity of upper limb motor impairment was classified according to the Fugl-Meyer assessment in mild/moderate ( = 25) and severe ( = 22). The qEEG indexes (PRI and DAR) were computed for each hemisphere (intrahemispheric index) and for both hemispheres (cerebral index). Considering the cerebral index (DAR and PRI), our results showed a slowing in brain activity in poststroke patients when compared to healthy controls. Only the intrahemispheric PRI index was able to find significant interhemispheric differences of frequency oscillations. Despite being unable to detect interhemispheric differences, the DAR index seems to be more sensitive to detect motor impairment-related frequency oscillations. The intrahemispheric PRI index may provide insights into therapeutic approaches for interhemispheric asymmetry after stroke.

摘要

脑活动慢波和快波频率之间的比例在中风后可能会发生变化。然而,很少有研究使用较慢和较快频率之间的定量脑电图 (qEEG) 指数(例如 delta/alpha 比 (DAR) 和 delta + theta/alpha + beta 的功率比指数 (PRI))来研究中风后患侧和非患侧半球之间的差异。在这里,我们提出了一种新的方法来分析每个半球内的 DAR 和 PRI,并研究了与运动障碍相关的半球间频率振荡。该研究纳入了 47 名中风后患者和 12 名健康对照者。根据 Fugl-Meyer 上肢运动功能评估,将上肢运动功能损伤的严重程度分为轻度/中度(=25 例)和重度(=22 例)。计算了每个半球(半球内指数)和两个半球(大脑指数)的 qEEG 指数(PRI 和 DAR)。考虑到大脑指数(DAR 和 PRI),与健康对照组相比,中风后患者的脑活动明显减慢。只有半球内的 PRI 指数能够发现频率振荡的显著半球间差异。尽管无法检测到半球间差异,但 DAR 指数似乎更能检测到与运动障碍相关的频率振荡。半球内的 PRI 指数可能为中风后半球间不对称的治疗方法提供了新的思路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed0f/8481048/bd23ee7c253f/NP2021-5664647.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed0f/8481048/bd23ee7c253f/NP2021-5664647.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed0f/8481048/bd23ee7c253f/NP2021-5664647.001.jpg

相似文献

1
Intrahemispheric EEG: A New Perspective for Quantitative EEG Assessment in Poststroke Individuals.半球间 EEG:脑卒中后个体定量 EEG 评估的新视角。
Neural Plast. 2021 Sep 21;2021:5664647. doi: 10.1155/2021/5664647. eCollection 2021.
2
How does upper extremity Fugl-Meyer motor score relate to resting-state EEG in chronic stroke? A power spectral density analysis.上肢 Fugl-Meyer 运动评分与慢性脑卒中的静息态 EEG 有何关系?一项功率谱密度分析。
Clin Neurophysiol. 2019 May;130(5):856-862. doi: 10.1016/j.clinph.2019.01.007. Epub 2019 Feb 2.
3
Are early measured resting-state EEG parameters predictive for upper limb motor impairment six months poststroke?早期测量的静息态脑电图参数是否可预测脑卒中后 6 个月上肢运动功能障碍?
Clin Neurophysiol. 2021 Jan;132(1):56-62. doi: 10.1016/j.clinph.2020.09.031. Epub 2020 Nov 3.
4
Is Resting-State EEG Longitudinally Associated With Recovery of Clinical Neurological Impairments Early Poststroke? A Prospective Cohort Study.静息态脑电图与脑卒中后早期临床神经功能缺损的恢复是否存在纵向关联?一项前瞻性队列研究。
Neurorehabil Neural Repair. 2020 May;34(5):389-402. doi: 10.1177/1545968320905797. Epub 2020 Apr 4.
5
Poststroke QEEG informs early prognostication of cognitive impairment.脑卒中后定量脑电图可用于认知障碍的早期预后评估。
Psychophysiology. 2017 Feb;54(2):301-309. doi: 10.1111/psyp.12785. Epub 2016 Nov 7.
6
Quantitative EEG and prognosis for recovery in post-stroke patients: The effect of lesion laterality.定量脑电图与脑卒中后患者恢复预后的相关性研究:病灶侧别的影响
Neurophysiol Clin. 2024 May;54(3):102952. doi: 10.1016/j.neucli.2024.102952. Epub 2024 Feb 29.
7
Resting-state electroencephalography changes in poststroke patients with visuospatial neglect.患有视觉空间忽视的中风后患者静息态脑电图的变化
Front Neurosci. 2022 Aug 10;16:974712. doi: 10.3389/fnins.2022.974712. eCollection 2022.
8
Quantitative EEG for Predicting Upper Limb Motor Recovery in Chronic Stroke Robot-Assisted Rehabilitation.用于预测慢性中风机器人辅助康复中上肢运动恢复情况的定量脑电图
IEEE Trans Neural Syst Rehabil Eng. 2017 Jul;25(7):1058-1067. doi: 10.1109/TNSRE.2017.2678161. Epub 2017 Mar 3.
9
Defining abnormal slow EEG activity in acute ischaemic stroke: Delta/alpha ratio as an optimal QEEG index.急性缺血性卒中异常慢脑电图活动的定义:δ/α比值作为最佳定量脑电图指标
Clin Neurophysiol. 2016 Feb;127(2):1452-1459. doi: 10.1016/j.clinph.2015.07.014. Epub 2015 Jul 22.
10
Modified Brain Activations of the Nondamaged Hemisphere During Ipsilesional Upper-Limb Movement in Persons With Initial Severe Motor Deficits Poststroke.脑损伤后初始严重运动功能障碍患者对侧上肢运动时非损伤半球的脑区激活改变。
Neurorehabil Neural Repair. 2018 Jan;32(1):34-45. doi: 10.1177/1545968317746783. Epub 2017 Dec 24.

引用本文的文献

1
Neural mechanisms underlying the improvement of gait disturbances in stroke patients through robot-assisted gait training based on QEEG and fNIRS: a randomized controlled study.基于脑电地形图(QEEG)和功能近红外光谱技术(fNIRS)的机器人辅助步态训练改善中风患者步态障碍的神经机制:一项随机对照研究。
J Neuroeng Rehabil. 2025 Jun 18;22(1):136. doi: 10.1186/s12984-025-01656-2.
2
Current implications of EEG and fNIRS as functional neuroimaging techniques for motor recovery after stroke.脑电图(EEG)和功能性近红外光谱技术(fNIRS)作为中风后运动恢复的功能性神经成像技术的当前意义。
Med Rev (2021). 2024 May 24;4(6):492-509. doi: 10.1515/mr-2024-0010. eCollection 2024 Dec.
3

本文引用的文献

1
Prognostic and Monitory EEG-Biomarkers for BCI Upper-Limb Stroke Rehabilitation.用于 BCI 上肢卒中康复的预后和监测 EEG 生物标志物。
IEEE Trans Neural Syst Rehabil Eng. 2019 Aug;27(8):1654-1664. doi: 10.1109/TNSRE.2019.2924742. Epub 2019 Jun 24.
2
How does upper extremity Fugl-Meyer motor score relate to resting-state EEG in chronic stroke? A power spectral density analysis.上肢 Fugl-Meyer 运动评分与慢性脑卒中的静息态 EEG 有何关系?一项功率谱密度分析。
Clin Neurophysiol. 2019 May;130(5):856-862. doi: 10.1016/j.clinph.2019.01.007. Epub 2019 Feb 2.
3
Power Spectral Density Analysis of Long-Term Motor Recovery in Patients With Subacute Stroke.
EEG Spectral Power Changes in Patients With Dysexecutive Syndrome Following Cognitive Intervention.
认知干预后执行功能障碍综合征患者的脑电图频谱功率变化。
Brain Behav. 2024 Nov;14(11):e70148. doi: 10.1002/brb3.70148.
4
Can electroencephalography (EEG) identify the different dimensions of pain in fibromyalgia? A pilot study.脑电图(EEG)能否识别纤维肌痛的不同疼痛维度?一项初步研究。
BMC Musculoskelet Disord. 2024 Sep 3;25(1):705. doi: 10.1186/s12891-024-07824-0.
5
Does high-definition transcranial direct current stimulation change brain electrical activity in professional female basketball players during free-throw shooting?高清经颅直流电刺激会改变职业女子篮球运动员罚球投篮时的脑电活动吗?
Front Neuroergon. 2022 Sep 14;3:932542. doi: 10.3389/fnrgo.2022.932542. eCollection 2022.
6
Sub-Scalp Implantable Telemetric EEG (SITE) for the Management of Neurological and Behavioral Disorders beyond Epilepsy.用于管理癫痫以外的神经和行为障碍的头皮下植入式遥测脑电图(SITE)
Brain Sci. 2023 Aug 8;13(8):1176. doi: 10.3390/brainsci13081176.
7
Review of Noninvasive Neuromonitoring Modalities in Children II: EEG, qEEG.儿童无创神经监测方式评估 II:脑电图、qEEG。
Neurocrit Care. 2023 Dec;39(3):618-638. doi: 10.1007/s12028-023-01686-5. Epub 2023 Mar 22.
8
Sensory and motor cortical excitability changes induced by rTMS and sensory stimulation in stroke: A randomized clinical trial.重复经颅磁刺激和感觉刺激对中风患者感觉和运动皮层兴奋性的影响:一项随机临床试验。
Front Neurosci. 2023 Jan 25;16:985754. doi: 10.3389/fnins.2022.985754. eCollection 2022.
9
Resting-state electroencephalography changes in poststroke patients with visuospatial neglect.患有视觉空间忽视的中风后患者静息态脑电图的变化
Front Neurosci. 2022 Aug 10;16:974712. doi: 10.3389/fnins.2022.974712. eCollection 2022.
10
Interhemispheric Facilitatory Effect of High-Frequency rTMS: Perspective from Intracortical Facilitation and Inhibition.高频重复经颅磁刺激的半球间促进作用:来自皮质内促进和抑制的视角
Brain Sci. 2022 Jul 23;12(8):970. doi: 10.3390/brainsci12080970.
功率谱密度分析亚急性脑卒中患者长期运动功能恢复情况。
Neurorehabil Neural Repair. 2019 Jan;33(1):38-46. doi: 10.1177/1545968318818900. Epub 2018 Dec 19.
4
Frontal EEG theta/beta ratio during mind wandering episodes.思绪游荡期间的额叶脑电图θ/β比值。
Biol Psychol. 2019 Jan;140:19-27. doi: 10.1016/j.biopsycho.2018.11.003. Epub 2018 Nov 17.
5
Quantitative EEG as Biomarkers for the Monitoring of Post-Stroke Motor Recovery in BCI and tDCS Rehabilitation.定量脑电图作为脑机接口和经颅直流电刺激康复中监测中风后运动恢复的生物标志物
Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:3610-3613. doi: 10.1109/EMBC.2018.8512920.
6
Quantitative EEG and functional outcome following acute ischemic stroke.定量脑电图与急性缺血性脑卒中后功能结局的相关性。
Clin Neurophysiol. 2018 Aug;129(8):1680-1687. doi: 10.1016/j.clinph.2018.05.021. Epub 2018 Jun 18.
7
Cortico-spinal excitability and hand motor recovery in stroke: a longitudinal study.皮质脊髓兴奋性与脑卒中后手运动功能恢复:一项纵向研究。
J Neurol. 2018 May;265(5):1071-1078. doi: 10.1007/s00415-018-8802-2. Epub 2018 Feb 28.
8
The potential dual role of transcallosal inhibition in post-stroke motor recovery.胼胝体抑制在中风后运动恢复中的潜在双重作用。
Restor Neurol Neurosci. 2018;36(1):83-97. doi: 10.3233/RNN-170778.
9
An EEG index of sensorimotor interhemispheric coupling after unilateral stroke: clinical and neurophysiological study.单侧卒中后感觉运动大脑两半球间耦合的 EEG 指标:临床和神经生理学研究。
Eur J Neurosci. 2018 Jan;47(2):158-163. doi: 10.1111/ejn.13797. Epub 2018 Jan 11.
10
Delta Power Is Higher and More Symmetrical in Ischemic Stroke Patients with Cortical Involvement.在伴有皮质受累的缺血性中风患者中,δ波功率更高且更对称。
Front Hum Neurosci. 2017 Jul 28;11:385. doi: 10.3389/fnhum.2017.00385. eCollection 2017.